Research On User Point Of Interest Recommendation Method And Mobile Advertising

With the rapid development of mobile Internet technology,a large number of advertisers began to shift from traditional media advertising to mobile advertising,mobile advertising become a new model of advertising now.However,the randomness of mobile advertising allows users to feel disgusted.Faced with this situation,targeted delivery of mobile advertising has been widely concerned by researchers.In order to realize the targeted delivery of mobile advertising,make mobile advertising truly meet the needs of users,hope that through research of user's interest and point of interest recommendation,so as to deliver the users are interested in and in the vicinity of the recommended point of interest advertising.The main research contents of this paper include the following points:1.The user's interest was studied through the data provided by micro-blog Sina.Considered the micro-blog text data of the users and their focus,used an improved TF-IDF algorithm to extract the users and their focus interest keywords,recycled cosine similarity to find out the focus of interest in the user's interest keywords,the final analyzed the user's interest.Compared with the traditional TF-IDF algorithm,using the improved TF-IDF algorithm is more suitable for micro-blog text data,and improved the accuracy of the extraction of micro-blog users interest keywords.At the same time,comprehensive analysis of the users and their focus of micro-blog data,has also enhance the effect of mining user interest.2.By analyzing the user check-in data,mining the users behavior features,this paper proposed a method of user point of interest recommendation.This method comprehensively considers the influence of time factor,space factor and place popularity index on the user's point of interest recommendation,by calculating the probability of user access to the point of interest,recycling Top-N recommendation,the final recommend a number of points of interest to use which are in the results of the access probability in the top.3.Through the research on user interest and point of interest recommendation method,this paper proposed a method of mobile advertising based on user interest and points of interest recommendation.Before advertising to users,analysis of user's interest and location information,get the user's interest and recommended points of interest,and then by calculating the user's interest in the value of the advertising and the value of point of interest recommendation to get the value of advertising,put the highest value in the calculation of the advertising to the user,achieved to deliver the users are interested in and in the vicinity of the recommended point of interest advertising.Through the research of this paper can be found,the user's interest and point of interest recommendation have a significant impact on the delivery of mobile advertising,by analyzing the user's interest and recommend points of interest for advertising targeted delivery,increased advertising revenue,reduced the cost of advertising,brought better social benefits and economic.